Abstract
By analysing the known e-mail virus propagation model, a new e-mail virus propagation model is proposed based on a complex network. Taking human factor into consideration legitimately, a new infective rate function is defined in this paper, which is different from existing models that simplify influence factors into a single parameter. After the model is established, experimental analyses illustrate that the critical moment appears when virus reaches its maximum propagation speed. Eliminating the virus before this critical moment or delaying the arrival of this critical moment is proved to be very effective in controlling virus spread. Experimental results show that compared with traditional virus propagation models the proposed model is more reasonable. Meanwhile, the experiment further verifies the correctness of the constructed models which provides useful theoretical basis for studying the spread of the virus prevention.
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